Can we get super high SNR by performing ICA on every single patch of antenna?
What if we make patch array antenna, put capacitor on each patch feeding and schottky diode. In this way we can get separate DC signal from every single patch, as self-mixing occurs in patch. Then next step is to wire all this DC outputs to modern ARM (stm32, nxp, etc..) with multiple ADC inputs, and perform ICA analysis. If you google on ICA for microphone arrays, it may be feasible. Super performance receiving signals with huge interference. Patch signals does not require to be in-phase, as we perform ICA. It is well known and studied on microphone arrays, etc. Bad thing is there is no gain for single patch, but it can be solved by making array of arrays.
Idea behind this is to overcome SNR vs DIRECTIVITY problem, huge interference problem, poor performance problem. If we make array too large, then beam will too narrow, and in many applications impossible to align beam of TX/RX systems. Some interference make impossible to work in traditional way. Some systems have too poor performance, and improving arises cost problem.
For example, 3x3 patch array, 9 patches, 9 schottky diodes, 9 capacitors for DC block, 9 capacitors for low frequency AC, some cheap Cortex microprocessor with 9 ADC channels (single ADC multiple channels). DSP using ICA method.
I think the analogy to audio is misleading. In your example, you would need to sample the RF signal and evaluate the RF differential phase data for "post-processed beamforming". In your example with detectors, there is no phase information available, so no way you could differentiate between signal from different angles.
I explained not very well. Idea is not to make any beamforming. Idea is to separate received signal from noise and unwanted interference signals.
As in case with audio microphones: ICA microphone array separates different sound sources, but do not give any direction.
So this patch array do the same, separate different signal sources, but do not give any direction information.
I can imagine some array of monopoles hand held radio... with ICA processing.
I understood that.
Right. You might not realize it, but in your audio example, this is done by digital beamforming. That's the trick. And you need phase information for that.
Another way to think about it:
The requirement for ICA analysis as descriped at Wikipedia is that you have independent signals, where independent is defined like this:
"The two broadest definitions of independence for ICA are
Minimization of mutual information
Maximization of non-Gaussianity"
by RF phase, do you mean high frequency RF phase? But we still have low frequency phase, and also different amplitudes of components. Signal in two antennas may look the same, but it components in sum have different amplitudes. Then ICA can work out those amplitudes. Somehow it must work. I am going to search through papers on internet, maybe there something done before
The circuit will work in RF and is in use for many years especially in HF frequencies. For some examples search the net for: "XPhase - Interference reduction "
The main problem of the system, like in any other multi-antenna systems, is that you need good antenna correlation (or isolation between antennas) which sometime is hard to get.
I think this is different from what Terminator3 tries to do. Your XPhase approach is based on adding different signals with RF phase offset. That for sure works.
Yes, correct.
Let us know what you find.
I think most good laptops have 2 patch antenna with a diversity switch, but many do not. The RSSI signal may indicate Rice Fading {Ricean} from multipath and then switch antenna to improve error rate. Position or orientation sensitivity is often 1 degree or 1 mm makes a huge difference when in a null from -80 to -70 for example . Of course cost increases with more antenna and pin diode switches is a tradeoff.
I think that the audio ICA system use at some point also phase cancellation for noise (as XPhase), after mixing and separation process.
From the document from where I took the image below is mentioned:
"the frequency separation signal is reconverted into the time domain to obtain the independent signals in the time domain"
For me this conversion to time domain seems that is necessarily to get the phase cancellation of the noise.
